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  • Shanghai

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BraudoCC/README.md

Welcome to my (Chaochuan Hou, 侯朝川 for Chinese) profile:

I am a fourth-year PhD student (a 5-year program) at Shanghai University of Finance and Economics. I work with my supervisors, Songqiao Han and Hailiang Huang, as well as my senior fellow, Minqi Jiang in SUFE AI Lab. My research focuses on anomaly detection and time series analysis, including time series anomaly detection, time series forecasting, LLM for time series, and time series foundational models.

Title Research Direction Conference/Journal Paper Code
ADGym: Design Choices for Deep Anomaly Detection Anomaly Detection NeurIPS 2023 📄 💻
Weakly Supervised Anomaly Detection: A Survey Anomaly Detection Arxiv 📄 💻

Quick links

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  1. Minqi824/ADBench Minqi824/ADBench Public

    Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

    Python 932 141

  2. Minqi824/WSAD Minqi824/WSAD Public

    A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)

    Python 168 12

  3. Minqi824/ADGym Minqi824/ADGym Public

    Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023

    Python 29 6